ORIGINAL RESEARCH
Effect of Forests Stands of Rudny Altai
(Eastern Kazakhstan) on the Formation
of Snow Cover
More details
Hide details
1
Altai Branch of the Kazakh Research Institute of Forestry and Agroforestry named after A. N. Bukeikhan,
Av. Abai, 13; Ridder, 071302, Kazakhstan
2
V.N. Sukachev Institute of Forest, Akademgorodok, 50/28, Krasnoyarsk, 660036, Russian Federation
Submission date: 2023-01-10
Final revision date: 2023-05-23
Acceptance date: 2023-07-08
Online publication date: 2023-10-30
Publication date: 2023-11-10
Corresponding author
Ahdrey Kalachev
Altai branch, A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry, Kazakhstan
Pol. J. Environ. Stud. 2023;32(6):5619-5630
KEYWORDS
TOPICS
ABSTRACT
The results of snow measurements in Rudny Altai during 2020-2022 are analyzed. The influence
of meteorological factors on the formation of snow cover in stands of various species composition
is considered. Studies have shown that temporal aspect of changes in the characteristics of the snow
cover is associated primarily with the weather conditions of a particular season. Precipitation in the
winter season of 2020- 2021 fell by 62 mm less than in 2021-2022 and in the bushy area in 2022,
moisture reserves were 16% more than in 2021. In a birch stand, this difference was 33%, and in a fir
stand - 48%. Against the background of zonal-climatic patterns of snow cover formation, local factors
that determine the spatial distribution of snow, its depth, density, dates of formation and melting,
and duration of duration of existence have a great influence. In this regard, the differences in the
formation of snow cover in various phytocenoses, which are represented in the mountain conditions of
the Rudny Altai, are very significant. The data obtained show that the birch and fir forests practically
did not differ in the water content in the snow at the end of March 2022 (408 and 410 mm), while
in the area with shrubs, water content in the snow was 44-46 mm lower than in the fir forest.
The results of field studies will make it possible to scientifically substantiate the basic principles of
forest management within the boundaries of catchment areas based on the basin approach. Data received
expand existing ideas on the hydrological role of mountain forests; they can be included in a common
database and used to build a universal model that reflects the dependence of coefficient water content
in snow on a number of trees stand characteristics and climatic conditions that affect the formation
of snow cover in the forest.